Bristol Myers Squibb
biomedical research
Scientist/SeniorScientistinMachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Scientist / Senior Scientist in Machine Learning at Bristol Myers Squibb. Skills: Machine Learning, Deep Learning, Foundation Models, Multimodal Learning, Python, PyTorch. Build and apply advanced machine learning models, with a focus on multimodal and foundation model approaches spanning transcriptomics, genomics, imaging (with particular emphasis on MRI and neuroimaging), and biomedical text. Train and evaluate modern deep learning architectures (e.g., Transformers, VAEs, ViTs, GNNs), includin”
What You'll Achieve.
making them count—connecting cutting-edge machine learning with real scientific and clinical decisions; turning emerging AI capabilities into practical tools for drug discovery and development
Industry & Context.
explore new scientific questions; translating ideas into applications that matter
What They're Looking For.
Must Have
Ph.D. in Machine Learning, Bioinformatics, Computer Science, Statistics, Applied Mathematics, Physics, Electrical Engineering, or a related field, hands-on experience with modern machine learning and deep learning, Proficiency in Python, Experience with PyTorch, Experience with the broader scientific Python ecosystem, Experience with cloud platforms (AWS, Azure, GCP) and/or HPC systems (e.g., SLURM), Familiarity with Docker, Familiarity with Git, Familiarity with reproducible research practices, Experience working with complex, large-scale background in biological, clinical, or imaging data, Clear and effective communication skills in English
Nice to Have
exposure to foundation models or multimodal learning is a plus, Familiarity with MRI and neuroimaging data (e.g., structural MRI, fMRI, diffusion imaging), Experience with foundation model training strategies (masked, contrastive, autoregressive) and multimodal architectures, Experience with LLMs and related tools (e.g., HuggingFace, PyTorch Lightning, weights & biases), Background in neuroscience and/or oncology, Previous experience in pharma, biotech, or healthcare research, Experience integrating multimodal datasets (omics, imaging, clinical, time-series)
What You'll Do.
Build and apply advanced machine learning models
with a focus on multimodal and foundation model approaches spanning transcriptomics
imaging (with particular emphasis on MRI and neuroimaging)
Train and evaluate modern deep learning architectures (e.g.
including self-supervised and generative methods
Develop models that support key drug discovery tasks such as target identification
and patient stratification
Work with large-scale biological and imaging datasets
including structural and functional MRI
Create scalable and reproducible ML pipelines on cloud and/or HPC environments
How You'll Work.
Team & Collaboration
Collaborate closely with computational and experimental contribute to or lead projects depending on your experience; Exchange ideas and best practices with teammates to collectively raise the quality of the work
Communication Scope
Communicate insights clearly, ensuring your work informs both scientific understanding and strategic decisions; Clear and effective communication skills in English
Full Job Description
**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **Why this role?** The Predictive Biology & AI team at CITRE (Seville, Spain) is looking for a **Scientist / Senior Scientist in Machine Learning** to help push the boundaries of how AI can transform biomedical research. This is a role for someone who enjoys both depth and impact: developing and training advanced models, exploring new scientific questions, and translating ideas into applications that matter. Depending on your experience, you will either drive or take ownership of key research directions, while contributing to a collaborative and fast-evolving environment. CITRE is BMS’s European center for computational innovation, where AI is embedded across the drug discovery pipeline. The focus here is not just on building models, but on making them count—connecting cutting-edge machine learning with real scientific and clinical decisions. Some of the questions we are actively working on include: * How can foundation models be designed to capture the complexity of diseases such as cancer and neurodegeneration? * How do w
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